Show simple item record

dc.contributor.editorWang, Shubo
dc.date.accessioned2024-09-06T08:26:09Z
dc.date.available2024-09-06T08:26:09Z
dc.date.issued2024
dc.identifierONIX_20240906_9783725816200_152
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/143790
dc.description.abstractAutomation is crucial for the advancement of modern agriculture. It has a significant role in enhancing production efficiency and output, reducing labor costs, addressing natural disasters, and boosting sustainability. Automation utilizes big data and artificial intelligence to monitor agricultural production. It introduces new farming models that adapt to the challenges of scalability and environmental changes, achieving precise and efficient agricultural development. This Special Issue, titled “Agricultural Unmanned Systems: Empowering Agriculture with Automation”, focuses on sharing knowledge related to integrated and precise operational agriculture systems in the sky, air, land, and water. It explores intelligent sensing and control technologies in smart agricultural unmanned systems to advance the progress of unmanned agriculture. Establishing global demonstration sites is essential. These sites support the revolutionary advancement of smart agricultural machinery in automated, intelligent, unmanned, cluster operations.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::Q Philosophy and Religion
dc.subject.classificationthema EDItEUR::Q Philosophy and Religion::QD Philosophy
dc.subject.classificationthema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDH Philosophical traditions and schools of thought
dc.subject.classificationthema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDH Philosophical traditions and schools of thought::QDHR Western philosophy from c 1800
dc.subject.otherpicking robots
dc.subject.otherrobotic configurations
dc.subject.otherdual-manipulator
dc.subject.otherdesign optimization
dc.subject.otherhigh-power tractors
dc.subject.othersubsoiling operation
dc.subject.othermultiple factors
dc.subject.otherjoint-control method
dc.subject.otherair-assisted sprayer
dc.subject.otherbehind canopies
dc.subject.otherdroplet loss
dc.subject.otherfoliage area volume density (FAVD)
dc.subject.otherenvironmental pollution
dc.subject.otherorchard
dc.subject.otherlidar
dc.subject.otherobstacle detection
dc.subject.otherharvester
dc.subject.otherpre-collision system
dc.subject.otherbaler
dc.subject.otherfeed rate
dc.subject.otherpickup platform
dc.subject.otherworking power
dc.subject.otherfrequency domain filtering
dc.subject.othermodel
dc.subject.otherdigital image processing
dc.subject.othertraditional machine learning
dc.subject.otherharvesting robot
dc.subject.othercomputer vision
dc.subject.otherobject detection
dc.subject.otherobject recognition
dc.subject.otherresearch overview
dc.subject.otherresearch review
dc.subject.otherRose Oxide (4-Methyl-2-(2-methyl-1-propenyl) tetrahydropyran)
dc.subject.otherde-aromatic wine
dc.subject.otherNIR spectroscopy
dc.subject.otherSi-PLSR
dc.subject.otherwavebands analysis
dc.subject.otherdeep learning
dc.subject.otherfruit detection
dc.subject.otherfruit recognition
dc.subject.otherautomatic harvesting
dc.subject.othercurrent challenge
dc.subject.otherdevelopment trend
dc.subject.othertransfer learning
dc.subject.otherMobileNetV3
dc.subject.otherpest detection
dc.subject.otherembedded system
dc.subject.othercitrus pest
dc.subject.otheralfalfa seeds
dc.subject.otheruniform fabric
dc.subject.otherdiscrete elements
dc.subject.othersmart agriculture
dc.subject.othervisual recognition
dc.subject.otherdecision control
dc.subject.otherend-effector
dc.subject.otherharvesting robots
dc.subject.othernitrogen content
dc.subject.otherwater content
dc.subject.otherdouble hidden layer
dc.subject.otherBP neural network
dc.subject.otherparticle swarm optimization
dc.subject.otherfruit picking
dc.subject.othermultiple robotic arms
dc.subject.otherend-picker
dc.subject.othertarget detection
dc.subject.othertask planning
dc.subject.otherclustered lawnmowers
dc.subject.othergrid-based method
dc.subject.othertask allocation
dc.subject.othercomprehensive coverage path planning
dc.subject.othern/a
dc.subject.otherUAV hyperspectral
dc.subject.otherleaf nitrogen content (LNC)
dc.subject.otherfeature optimization
dc.subject.other3D LiDAR
dc.subject.otherpositioning
dc.subject.othercanopy length measurement
dc.titleAgricultural Unmanned Systems: Empowering Agriculture with Automation
dc.typebook
oapen.identifier.doi10.3390/books978-3-7258-1619-4
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783725816200
oapen.relation.isbn9783725816194


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

https://creativecommons.org/licenses/by-nc-nd/4.0/
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/